Nanomechanical characterization of the fracture toughness of Al/SiC nanolaminates

Yang, Lingwei; Mayer, Carl R.; Chawla, Nikhilesh; LLorca, J.; Molina-Aldareguía, J.M.

doi:10.1016/j.eml.2020.100945

Cited by 9 publications

(1 citation statement)

References 29 publications

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“…Finally, the σ y E a performance indicator is plotted against the fracture energy (G Ic ) to compare the four different a-C:H:Cr coatings to an extensive list of thin coating materials gathered from the literature [62][63][64][65][66][67][68][69][70][71][72][73][74][75][76][77][78] in Figure 13. As an indicator of cracking resistance, the a-C:H:Cr coatings present the largest yield strength over Young's modulus ratio with tunable G Ic in the range of 5-125 J/m 2 .…”

Section: Effect Of Process Parameters On Wear Resistancementioning

confidence: 99%

Tailoring Mechanical Properties of a-C:H:Cr Coatings

Bagherpour,

Baral,

Colla

et al. 2023

Coatings

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The development of coatings with tunable performances is critical to meet a wide range of technological applications each one with different requirements. Using the plasma-enhanced chemical vapor deposition (PECVD) process, scientists can create hydrogenated amorphous carbon coatings doped with metal (a-C:H:Me) with a broad range of mechanical properties, varying from those resembling polymers to ones resembling diamond. These diverse properties, without clear relations between the different families, make the material selection and optimization difficult but also very rich. An innovative approach is proposed here based on projected performance indices related to fracture energy, strength, and stiffness in order to classify and optimize a-C:H:Me coatings. Four different a-C:H:Cr coatings deposited by PECVD with Ar/C2H2 discharge under different bias voltage and pressures are investigated. A path is found to produce coatings with a selective critical energy release rate between 5–125 J/m2 without compromising yield strength (1.6–2.7 GPa) and elastic limit (≈0.05). Finally, fine-tuned coatings are categorized to meet desired applications under different testing conditions.

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